Limitations of Phylogenomic Data Can Drive Inferred Speciation Rate Shifts

Biodiversity analyses of phylogenomic timetrees have produced many high-profile examples of shifts in the rate of speciation across the tree of life. Temporally correlated events in ecology, climate, and biogeography are frequently invoked to explain these rate shifts. In a re-examination of 15 genomic timetrees and 25 major published studies of the pattern of speciation through time, we observed an unexpected correlation between the timing of reported rate shifts and the information content of sequence alignments. Here, we show that the paucity of sequence variation and insufficient species sampling in phylogenomic data sets are the likely drivers of many inferred speciation rate shifts, rather than the proposed biological explanations. Therefore, data limitations can produce predictable but spurious signals of rate shifts even when speciation rates may be similar across taxa and time. Our results suggest that the reliable detection of speciation rate shifts requires the acquisition and assembly of long phylogenomic alignments with near-complete species sampling and accurate estimates of species richness for the clades of study.     

Automated High-throughput Behavioral Analyses in Zebrafish Larvae

We have created a novel high-throughput imaging system for the analysis of behavior in 7-day-old zebrafish larvae in multi-lane plates. This system measures spontaneous behaviors and the response to an aversive stimulus, which is shown to the larvae via a PowerPoint presentation. The recorded images are analyzed with an ImageJ macro, which automatically splits the color channels, subtracts the background, and applies a threshold to identify individual larvae placement in the lanes. We can then import the coordinates into an Excel sheet to quantify swim speed, preference for edge or side of the lane, resting behavior, thigmotaxis, distance between larvae, and avoidance behavior. Subtle changes in behavior are easily detected using our system, making it useful for behavioral analyses after exposure to environmental toxicants or pharmaceuticals.     

Integrated Syntenic and Phylogenomic Analyses Reveal an Ancient Genome Duplication in Monocots

Unraveling widespread polyploidy events throughout plant evolution is a necessity for inferring the impacts of whole-genome duplication (WGD) on speciation, functional innovations, and to guide identification of true orthologs in divergent taxa. Here, we employed an integrated syntenic and phylogenomic analyses to reveal an ancient WGD that shaped the genomes of all commelinid monocots, including grasses, bromeliads, bananas (Musa acuminata), ginger, palms, and other plants of fundamental, agricultural, and/or horticultural interest. First, comprehensive phylogenomic analyses revealed 1421 putative gene families that retained ancient duplication shared by Musa (Zingiberales) and grass (Poales) genomes, indicating an ancient WGD in monocots. Intergenomic synteny blocks of Musa and Oryza were investigated, and 30 blocks were shown to be duplicated before Musa-Oryza divergence an estimated 120 to 150 million years ago. Synteny comparisons of four monocot (rice [Oryza sativa], sorghum [Sorghum bicolor], banana, and oil palm [Elaeis guineensis]) and two eudicot (grape [Vitis vinifera] and sacred lotus [Nelumbo nucifera]) genomes also support this additional WGD in monocots, herein called Tau (τ). Integrating synteny and phylogenomic comparisons achieves better resolution of ancient polyploidy events than either approach individually, a principle that is exemplified in the disambiguation of a WGD series of rho (ρ)-sigma (σ)-tau (τ) in the grass lineages that echoes the alpha (α)-beta (β)-gamma (γ) series previously revealed in the Arabidopsis thaliana lineage.     

Automated Analyses of Innate Olfactory Behaviors in Rodents

Olfaction based behavioral experiments are important for the investigation of sensory coding, perception, decision making and memory formation. The predominant experimental paradigms employ forced choice operant assays, which require associative learning and reinforced training. Animal performance in these assays not only reflects odor perception but also the confidence in decision making and memory. In this study, we describe a versatile and automated setup, “Poking-Registered Olfactory Behavior Evaluation System” (PROBES), which can be adapted to perform multiple olfactory assays. In addition to forced choice assays, we employ this system to examine animal’s innate ability for odor detection, discrimination and preference without elaborate training procedures. These assays provide quantitative measurements of odor discrimination and robust readouts of odor preference. Using PROBES, we find odor detection thresholds are at lower concentrations in naïve animals than those determined by forced choice assays. PROBES-based automated assays provide an efficient way of analyzing innate odor-triggered behaviors.     

Large-Scale Phylogenomic Analyses Reveal the Monophyly of Bryophytes and Neoproterozoic Origin of Land Plants

The relationships among the four major embryophyte lineages (mosses, liverworts, hornworts, vascular plants) and the timing of the origin of land plants are enigmatic problems in plant evolution. Here, we resolve the monophyly of bryophytes by improving taxon sampling of hornworts and eliminating the effect of synonymous substitutions. We then estimate the divergence time of crown embryophytes based on three fossil calibration strategies, and reveal that maximum calibration constraints have a major effect on estimating the time of origin of land plants. Moreover, comparison of priors and posteriors provides a guide for evaluating the optimal calibration strategy. By considering the reliability of fossil calibrations and the influences of molecular data, we estimate that land plants originated in the Precambrian (980–682 Ma), much older than widely recognized. Our study highlights the important contribution of molecular data when faced with contentious fossil evidence, and that fossil calibrations used in estimating the timescale of plant evolution require critical scrutiny.     

Using all Gene Families Vastly Expands Data Available for Phylogenomic Inference

Traditionally, single-copy orthologs have been the gold standard in phylogenomics. Most phylogenomic studies identify putative single-copy orthologs using clustering approaches and retain families with a single sequence per species. This limits the amount of data available by excluding larger families. Recent advances have suggested several ways to include data from larger families. For instance, tree-based decomposition methods facilitate the extraction of orthologs from large families. Additionally, several methods for species tree inference are robust to the inclusion of paralogs and could use all of the data from larger families. Here, we explore the effects of using all families for phylogenetic inference by examining relationships among 26 primate species in detail and by analyzing five additional data sets. We compare single-copy families, orthologs extracted using tree-based decomposition approaches, and all families with all data. We explore several species tree inference methods, finding that identical trees are returned across nearly all subsets of the data and methods for primates. The relationships among Platyrrhini remain contentious; however, the species tree inference method matters more than the subset of data used. Using data from larger gene families drastically increases the number of genes available and leads to consistent estimates of branch lengths, nodal certainty and concordance, and inferences of introgression in primates. For the other data sets, topological inferences are consistent whether single-copy families or orthologs extracted using decomposition approaches are analyzed. Using larger gene families is a promising approach to include more data in phylogenomics without sacrificing accuracy, at least when high-quality genomes are available.     

Phylogenomic Resolution of Sea Spider Diversification through Integration of Multiple Data Classes

Despite significant advances in invertebrate phylogenomics over the past decade, the higher-level phylogeny of Pycnogonida (sea spiders) remains elusive. Due to the inaccessibility of some small-bodied lineages, few phylogenetic studies have sampled all sea spider families. Previous efforts based on a handful of genes have yielded unstable tree topologies. Here, we inferred the relationships of 89 sea spider species using targeted capture of the mitochondrial genome, 56 conserved exons, 101 ultraconserved elements, and 3 nuclear ribosomal genes. We inferred molecular divergence times by integrating morphological data for fossil species to calibrate 15 nodes in the arthropod tree of life. This integration of data classes resolved the basal topology of sea spiders with high support. The enigmatic family Austrodecidae was resolved as the sister group to the remaining Pycnogonida and the small-bodied family Rhynchothoracidae as the sister group of the robust-bodied family Pycnogonidae. Molecular divergence time estimation recovered a basal divergence of crown group sea spiders in the Ordovician. Comparison of diversification dynamics with other marine invertebrate taxa that originated in the Paleozoic suggests that sea spiders and some crustacean groups exhibit resilience to mass extinction episodes, relative to mollusk and echinoderm lineages.     

Clostridium botulinum Group II Isolate Phylogenomic Profiling Using Whole-Genome Sequence Data

Clostridium botulinum group II isolates (n = 163) from different geographic regions, outbreaks, and neurotoxin types and subtypes were characterized in silico using whole-genome sequence data. Two clusters representing a variety of botulinum neurotoxin (BoNT) types and subtypes were identified by multilocus sequence typing (MLST) and core single nucleotide polymorphism (SNP) analysis. While one cluster included BoNT/B4/F6/E9 and nontoxigenic members, the other comprised a wide variety of different BoNT/E subtype isolates and a nontoxigenic strain. In silico MLST and core SNP methods were consistent in terms of clade-level isolate classification; however, core SNP analysis showed higher resolution capability. Furthermore, core SNP analysis correctly distinguished isolates by outbreak and location. This study illustrated the utility of next-generation sequence-based typing approaches for isolate characterization and source attribution and identified discrete SNP loci and MLST alleles for isolate comparison.     

数据噪音构建基因布尔网络模型的方法

在分析基因数据时,往往有噪音出现,因此借用基因表达谱数据中的噪音来建立卡诺图,可以得到布尔网络逻辑函数。而且利用此方法确定蛋白质与蛋白质之间的逻辑关系,建立蛋白质的逻辑网络。通过该方法可以寻找直系同源簇蛋白质数据的逻辑关系。     

Phylogenomic analysis of chromoviruses

Genome sequences of model organisms provide a unique opportunity to obtain insight into the complete diversity of any transposable element (TE) group. A limited number of chromoviruses, the chromodomain containing genus of Metaviridae, is known from plant, fungal and vertebrate genomes. By searching diverse eukaryotic genome databases, we have found a surprisingly large number of new, structurally intact and highly conserved chromoviral elements, greatly exceeding the number of previously known chromoviruses. In this study, we examined the diversity, origin and evolution of chromoviruses in Eukaryota. Chromoviral diversity in plants, fungi and vertebrates, as shown by phylogenetic analyses, was found to be much greater than previously expected. A novel centromere-specific chromoviral lineage was found to be widespread and highly conserved in all seed plants. The age of chromoviruses has been significantly extended by finding their representatives in the most basal plant lineages (green and red algae), in Heterokonta (oomycetes) and in Cercozoa (plasmodiophorids). The evolutionary origin of chromoviruses has been found to be no earlier than in Cercozoa, since none can be found in the basal eukaryotic lineages, despite the extensive genome data. The evolutionary dynamics of chromoviruses can be explained by a strict vertical transmission in plants and fungi, while in Metazoa it is more complex. The currently available genome data clearly show that chromoviruses are the most widespread and one of the oldest Metaviridae clade.     

Comparative Genomic and Phylogenomic Analyses Reveal a Conserved Core Genome Shared by Estuarine and Oceanic Cyanopodoviruses

Podoviruses are among the major viral groups that infect marine picocyanobacteria Prochlorococcus and Synechococcus. Here, we reported the genome sequences of five Synechococcus podoviruses isolated from the estuarine environment, and performed comparative genomic and phylogenomic analyses based on a total of 20 cyanopodovirus genomes. The genomes of all the known marine cyanopodoviruses are highly syntenic. A pan-genome of 349 clustered orthologous groups was determined, among which 15 were core genes. These core genes make up nearly half of each genome in length, reflecting the high level of genome conservation among this cyanophage type. The whole genome phylogenies based on concatenated core genes and gene content were highly consistent and confirmed the separation of two discrete marine cyanopodovirus clusters MPP-A and MPP-B. The genomes within cluster MPP-B grouped into subclusters mainly corresponding to Prochlorococcus or Synechococcus host types. Auxiliary metabolic genes tend to occur in a specific phylogenetic group of these cyanopodoviruses. All the MPP-B phages analyzed here encode the photosynthesis gene psbA, which are absent in all the MPP-A genomes thus far. Interestingly, all the MPP-B and two MPP-A Synechococcus podoviruses encode the thymidylate synthase gene thyX, while at the same genome locus all the MPP-B Prochlorococcus podoviruses encode the transaldolase gene talC. Both genes are hypothesized to have the potential to facilitate the biosynthesis of deoxynucleotide for phage replication. Inheritance of specific functional genes could be important to the evolution and ecological fitness of certain cyanophage genotypes. Our analyses demonstrate that cyanopodoviruses of estuarine and oceanic origins share a conserved core genome and suggest that accessory genes may be related to environmental adaptation.     

Automated Masking of AFLP Markers Improves Reliability of Phylogenetic Analyses

The amplified fragment length polymorphisms (AFLP) method has become an attractive tool in phylogenetics due to the ease with which large numbers of characters can be generated. In contrast to sequence-based phylogenetic approaches, AFLP data consist of anonymous multilocus markers. However, potential artificial amplifications or amplification failures of fragments contained in the AFLP data set will reduce AFLP reliability especially in phylogenetic inferences. In the present study, we introduce a new automated scoring approach, called “AMARE” (AFLP MAtrix REduction). The approach is based on replicates and makes marker selection dependent on marker reproducibility to control for scoring errors. To demonstrate the effectiveness of our approach we record error rate estimations, resolution scores, PCoA and stemminess calculations. As in general the true tree (i.e. the species phylogeny) is not known, we tested AMARE with empirical, already published AFLP data sets, and compared tree topologies of different AMARE generated character matrices to existing phylogenetic trees and/or other independent sources such as morphological and geographical data. It turns out that the selection of masked character matrices with highest resolution scores gave similar or even better phylogenetic results than the original AFLP data sets.     

三维电子显微学自动化数据采集的进展

生物三维电子显微学在过去几年取得了巨大的突破,一些具有高对称性的病毒颗粒获得了准原子分辨率的结构,非对称性的生物大分子及其复合体的结构分辨率也有快速的提高。而要获得高分辨率的结构,获取足够多的高质量电子显微照片是其中的一个关键因素。近年来,自动化数据采集技术在电子断层成像术和单颗粒方法中都取得了很大的进展。其广泛应用将使结构测定更加快速并使结构分辨率提高到更高的层次。     

Partitioned Gene-Tree Analyses and Gene-Based Topology Testing Help Resolve Incongruence in a Phylogenomic Study of Host-Specialist Bees (Apidae: Eucerinae)

Incongruence among phylogenetic results has become a common occurrence in analyses of genome-scale data sets. Incongruence originates from uncertainty in underlying evolutionary processes (e.g., incomplete lineage sorting) and from difficulties in determining the best analytical approaches for each situation. To overcome these difficulties, more studies are needed that identify incongruences and demonstrate practical ways to confidently resolve them. Here, we present results of a phylogenomic study based on the analysis 197 taxa and 2,526 ultraconserved element (UCE) loci. We investigate evolutionary relationships of Eucerinae, a diverse subfamily of apid bees (relatives of honey bees and bumble bees) with >1,200 species. We sampled representatives of all tribes within the group and >80% of genera, including two mysterious South American genera, Chilimalopsis and Teratognatha. Initial analysis of the UCE data revealed two conflicting hypotheses for relationships among tribes. To resolve the incongruence, we tested concatenation and species tree approaches and used a variety of additional strategies including locus filtering, partitioned gene-trees searches, and gene-based topological tests. We show that within-locus partitioning improves gene tree and subsequent species-tree estimation, and that this approach, confidently resolves the incongruence observed in our data set. After exploring our proposed analytical strategy on eucerine bees, we validated its efficacy to resolve hard phylogenetic problems by implementing it on a published UCE data set of Adephaga (Insecta: Coleoptera). Our results provide a robust phylogenetic hypothesis for Eucerinae and demonstrate a practical strategy for resolving incongruence in other phylogenomic data sets.